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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/127908
Effect of the solvent on the conformational behavior of the alanine dipeptide deduced from MD simulations
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In general, peptides do not exhibit a well-defined conformational profile in solution. However, despite the experimental blurred picture associated with their structure, compelling spectroscopic evidence shows that peptides exhibit local order. The conformational profile of a peptide is the result of a balance between intramolecular interactions between different atoms of the molecule and intermolecular interactions between atoms of the molecule and the solvent. Accordingly, the conformational profile of a peptide will change upon the properties of the solvent it is soaked. To get insight into the balance between intraand intermolecular interactions on the conformational preferences of the peptide backbone we have studied the conformational profile of the alanine dipeptide in diverse solvents using molecular dynamics as sampling technique. Solvents studied include chloroform, methanol, dimethyl sulfoxide, water and N-methylacetami de. Different treatments of the solvent have been studied in the present work including explicit solvent molecules, a generalized Born model and using the bulk dielectric constant of the solvent. The diverse calculations identify four major conformations with different populations in the diverse solvents: the C-7(eq) only sampled in chloroform; the C-5 or extended conformation; the polyproline (PII) conformation and the right-handed alpha-helix conformation (alpha(R)). The results of present calculations permit to analyze how the balance between intra- and intermolecular interactions explains the populations of the diverse conformations observed. (C) 2017 Elsevier Inc. All rights reserved.
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RUBIO MARTÍNEZ, Jaime, SANTOS TOMAS, M., PEREZ, Juan j.. Effect of the solvent on the conformational behavior of the alanine dipeptide deduced from MD simulations. _Journal of Molecular Graphics & Modelling_. 2017. Vol. 78, núm. 118-128. [consulta: 21 de gener de 2026]. ISSN: 1093-3263. [Disponible a: https://hdl.handle.net/2445/127908]